AI and agentic scientific systems
Agents, retrieval, verification, workflow automation
For teams using AI to turn documents, data, code, clinical information, and scientific workflows into reviewable systems.
View profileBiomedical evidence, software, infrastructure, and product delivery from one connected scientific foundation.
Rare disease and precision medicine
Mechanism, diagnosis, multi-omics, variant evidence
For teams turning patient-level molecular data into defensible clinical, translational, or product evidence.
View profileStatistical genomics and epidemiology
Population evidence, inference, cohorts, GWAS, WGS, RNA-seq
For teams analysing large genomic cohorts where statistical evidence has to be reproducible, interpretable, and reusable.
View profileClinical and regulated data infrastructure
Traceability, governance, secure biomedical data
For teams building clinical or translational workflows where data, analysis, and reporting must survive review.
View profileBiomedical software and scientific systems
Tools, platforms, reports, reproducible workflows
For teams that need scientific methods turned into usable software, structured outputs, and maintained systems.
View profileCommercial and product strategy
Product delivery, market translation, evidence architecture, adoption
For teams turning technical biomedical work into products, platforms, standards, and decision systems that can reach real users.
View profileFrom discovery to delivery
Useful biomedical work depends on a chain of decisions: what biology to trust, what evidence to generate, what method to use, what must be documented, and what users need before they can act.
My work connects that chain across discovery, clinical evidence, statistical inference, regulated data infrastructure, software, documentation, product translation, and adoption.
Experience and collaborations
